White Papers

Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems

Tags: data

Overview This paper describes a personalized recommender system that uses web mining techniques for recommending a student which (next) links to visit within an adaptable educational hypermedia system. They present a specific mining tool and a recommender engine that one has integrated in the AHA! system in order to help the teacher to carry out the whole web mining process. They report on several experiments with real data in order to show the suitability of using both clustering and sequential pattern mining algorithms together for discovering personalized recommendation links.

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Publisher: Technical University of Eindhoven
File Format: PDF
Date Published: Oct 7, 2008
Format: White Papers
Topics: Knowledge and Data Management, Data Mining - Analysis

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